Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
IEEE Transactions on Computers
Nonorthogonal Projections for Feature Extraction in Pattern Recognition
IEEE Transactions on Computers
Algorithms for Recognizing Contour-Traced Handprinted Characters
IEEE Transactions on Computers
Multidimensional Rotations in Feature Selection
IEEE Transactions on Computers
Feature Extraction in an Optical Character Recognition Machine
IEEE Transactions on Computers
A Character Recognition Application of an Iterative Procedure for Feature Selection
IEEE Transactions on Computers
Experiments in the recognition of hand-printed text, part I: character recognition
AFIPS '68 (Fall, part II) Proceedings of the December 9-11, 1968, fall joint computer conference, part II
Results Obtained Using a Simple Character Recognition Procedure on Munson's Handprinted Data
IEEE Transactions on Computers
Computer-automated design of multifont print recognition logic
IBM Journal of Research and Development
Infosel++: information based feature selection C++ library
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
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In this paper, measures of probabilistic dependence are derived from distance measures and are applied to feature evaluation in pattern recognition. The main properties of the measures are derived and are discussed in their application to feature-class dependency. Relations between the measures and error probability are derived. Experiments using feature subsets extracted from Munson's hand-printed data are performed to compare the feature-evaluating capabilities of the measures both relative to each other and relative to error probability.